Articolo in rivista, 2010, ENG, 10.1103/PhysRevE.82.015103
Allegrini P.; Menicucci D.; Bedini R.; Gemignani A.; Paradisi P.
CNR-IFC, Pisa, Italy - Centro EXTREME, Scuola Superiore Sant'Anna, Pisa, Italy; CNR-IFC, Pisa, Italy - Centro EXTREME, Scuola Superiore Sant'Anna, Pisa, Italy; CNR-IFC, Pisa, Italy - Centro EXTREME, Scuola Superiore Sant'Anna, Pisa, Italy; CNR-IFC, Pisa, Italy - Centro EXTREME, Scuola Superiore Sant'Anna, Pisa, Italy - Dipartmento di Scienze Fisiologiche, Università di Pisa, Pisa, Italy; CNR-ISTI, Pisa, Italy
We propose a model for the passage between metastable states of mind dynamics. As changing points we use the rapid transition processes simultaneously detectable in EEG signals related to different cortical areas. Our model consists of a non-Poissonian intermittent process, which signals that the brain is in a condition of complexity, upon which a Poisson process is superimposed. We provide an analytical solution for the waiting- time distribution for the model, which is well obeyed by physiological data. Although the role of the Poisson process remains unexplained, the model is able to reproduce many behaviors reported in literature, although they seem contradictory.
Physical review. E, Statistical, nonlinear and soft matter physics (Online) 82 (1), pp. 015103-1–015103-4
I.5.4 PATTERN RECOGNITION. Applications, J.3 LIFE AND MEDICAL SCIENCES, 46N30, Brain dynamics, Fractal intermittency
ISTI – Istituto di scienza e tecnologie dell'informazione "Alessandro Faedo"
CNR authors
External IDs
CNR OAI-PMH: oai:it.cnr:prodotti:44236
DOI: 10.1103/PhysRevE.82.015103
ISI Web of Science (WOS): 000280472200001
Scopus: 2-s2.0-77955170444